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Market
Strategic Investment Attraction by Aligned Layer by End of 2024
4
Resolution / Starting Odds
Significantly More Investments • 33%
Moderate Additional Investments • 33%
No Additional Investments • 34%
Finance news outlets, Aligned Layer press releases, and investor announcements.
Story
Aligned Layer Raises $2.6M, Partners with StarkWare, O(1) Labs to Boost Ethereum
Apr 16, 2024, 02:00 AM
Aligned Layer, a zk proof verification layer for Ethereum, has successfully raised $2.6 million in a seed funding round. The round was led by Lemniscap and saw participation from BanklessVC, PaperVC, with strategic investments from StarkWare Ltd, and O(1) Labs. This funding aims to enhance Ethereum's capabilities as a settlement layer by providing developers with affordable, fast, and cheap proof verification for various proof systems. Aligned Layer operates on top of EigenLayer and is designed to improve the efficiency and cost-effectiveness of Ethereum's Layer 2 ecosystem. The company has also announced a partnership with Ingo_zk to create a full-stack ZK infrastructure platform, aiming to bridge the gap between provers and verifiers for enhanced scalability and innovation.
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More than 5 • 25%
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Increased investment in renewable energy • 25%
Increased investment in other fossil fuels • 25%
No significant change in investments • 25%
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Lemniscap (additional funding) • 20%
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DeFi protocols • 33%
NFT platforms • 33%
Gaming platforms • 34%
Increase investment in Gold • 33%
Return to U.S. Treasuries • 33%
Invest in other commodities • 33%
Significant increase in investor engagement • 25%
Moderate increase in investor engagement • 25%
No change in investor engagement • 25%
Decrease in investor engagement • 25%
Low adoption (<1000 users) • 25%
Moderate adoption (1000-5000 users) • 25%
High adoption (5000-10000 users) • 25%
Very high adoption (>10000 users) • 25%
AI chips and systems • 34%
Memory and storage solutions • 33%
Processor technologies • 33%
Natural Language Processing • 25%
Machine Learning Platforms • 25%
AI-optimized Hardware • 25%
Automated Machine Learning • 25%